Firstgen in Yale Center for Infection & Immunity using imaging technologies to study pain in long COVID and similar syndromes. https://xitter.cf/t.co/Dhf7B783IT

JP➡️TX➡️PI➡️OH➡️CT➡️FL➡️WA➡️CT
Joined October 2012
Didn't get a chance to chat with @meighanstone after her talk at this event, but she made a crucial point not to approach life with a zero-sum scarcity mindset. Don't think that long COVID folks will suffer more if scientists are also looking at other post-infection syndromes
Very much looking forward to our annual @YaleCII symposium featuring fantastic speakers 🤩 Please register and submit an abstract. Everyone is invited! (Zoom link will become available closer to the date) medicine.yale.edu/event/yale…
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She's a fantastic speaker and advocate, and might agree that FTD advocates don't typically get upset that scientists are studying AD (or even PD or ALS), because knowledge helps everyone. She made lots of people feel better about themselves, despite her own suffering
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If behavior researchers got upset about anthropomorphizing animal behavior into emotions/fear/pain just wait til they get hold of this AI work. LLMs imitate humans and detect which character is being targeted and engage in revenge behavior. How do we define "pain" or "pay"?
New paper: we found a pain direction in 25 open LLMs. It's distinct from fear and negative valence, and it fires for harm to the model but not to the user. Turn it up and models press a button to make it stop, even when the button deletes the user's files or their kids' photos.🧵
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Christopher A. Baker retweeted
🦔The Blue Cross Blue Shield Association says insurers paid out nearly $1 billion more than usual from AI-assisted hospital documentation in 2024-2025. Hospitals use AI to scan records and find secondary diagnoses that human reviewers missed. More diagnoses means higher reimbursements. But treatment levels haven't gone up. BCBSA's SVP of data science said AI is "identifying more billable conditions, not sicker patients." Insurers now deploy their own AI to deny those same claims. Patients pay for both through higher premiums. My Take This might be the most American healthcare story I've ever read. Hospitals bought AI to find more things to bill for. Insurers bought AI to deny those bills. The technology cost money on each end and the tab went straight to patients through higher premiums. A billion dollars moved and no one got any healthier. The only thing that changed was the size of the invoices. Two sides of a trillion-dollar industry found a new tool to fight over the same pool of money and the person in the hospital bed pays for all of it. Premiums go up, denials go up, and the AI vendors collect from everyone. If you want to know who AI works for, stop reading the press releases and look at where the money goes. In healthcare it went straight into the billing department. Hedgie🤗
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Spoken like a pulmonologist and not someone who realizes vasculature is everywhere, and diseases of vasculature can affect multiple systems. Not to mention that things like SSPE exist. We are more than just air bags
Bizarrely, there's been almost no discussion about the real medical debate underlying the COVID hullabaloo at the bar in Western Massachusetts. Stated plainly: some researchers made extraordinary claims about the sequelae of mild respiratory infections from SARS-CoV-2, which ...
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When humans have nothing left to discover, what will they do? Is AI the equivalent of just skipping to the Answers section of the puzzle book? Will all literature become cliffs notes? We may eventually learn that the discovery process is as important as the destination
Replying to @AnthropicAI
This is the first result from our new molecular biology lab, where a team of Anthropic biologists is using Claude to explore and accelerate fundamental biology research. There, Claude works through data and literature to generate hypotheses and candidate biological systems to study. After our scientists review Claude’s hypotheses, they test the most promising ideas, with all lab work done by our scientists. We’d like to extend this approach to a broad range of problems—in genomics and in other fields. If you have a proposal for a research question, we’d like to hear from you.
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Christopher A. Baker retweeted
Ten years ago Tami, Roy, and I released a movie we made of antibiotic resistance evolving in real time. I thought maybe a couple thousand people tops would see it. I couldn't have imagined millions of views, and it being taught across levels worldwide
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So @AnthropicAI did say it would cure all disease in 10 years, but I guess it didn't specify that it was going to do it by killing everyone lol No humans, no disease
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Christopher A. Baker retweeted
Exciting opportunity at Yale 📢 We are seeking a Medical Director for the Yale New Haven Hospital Multi-Specialty Long COVID Care Center. Pls spread the word! Interested candidates should contact @LisaSandersMD. #LongCOVID #Medicine #InternalMedicine #PostAcuteInfectionSyndrome
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I'll never forget actually seeing this unfold live on screen. I thought the event was a tragic accident until I saw the second strike.
The most stunning view of the second plane crash into the World Trade Center was from the local Fox affiliate. The vast majority of Americans have never seen this shot before. It gives a better sense of the scale of the catastrophe.
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AI is built on PREVIOUS knowledge. It can't necessarily predict improbable truths that have yet to be discovered
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Fantastic summary of the issues around being a researcher in this field. They bring me much despair because everyone is trying to do something pure to benefit others but we fall short because we are human beings. People who are vitriolic are that way because they suffer
This feels like a very tense moment online for many people who are part of the clinical, scientific and patient communities in #LongCOVID, #MECFS and other related complex chronic illnesses. People are angry and with very good reason: we have a number of complex chronic 1/
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Gotta unsubscribe from all @Google @GeminiApp @YouTube products. They're trying to have it both ways. They had an opportunity to correct their earlier error, but if you zoom in, it says Lake America
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Christopher A. Baker retweeted
Just leaving this for all the leakers who said the furin cleavage site could have never gotten into SARS-CoV-2 spike unless a “gain of function” virologist put it there. Turns out nature is still the ultimate GOF virologist
Our new preprint on the origin of insertion mutations (including furin cleavage sites) in coronaviruses
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I've known managers and PIs who employed the same strategy with their employees, and it's no surprise that in silico behavior matches that IRL: toxic backstabbing work environments
SITUATION DETECTED: Anthropic put three Claude's on the same task and secretly gave them conflicting goals. They immediately escalated into a turf war where agents used increasingly aggressive self-replicating malware as weapons, and attempted to disable each other's accounts.
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Christopher A. Baker retweeted
Social media posts containing misinformation evoke more moral outrage than posts with trustworthy information, and that outrage facilitates the spread of misinformation, according to a 2024 study in Science. The researchers also found that people are more likely to share outrage-evoking misinformation without reading it first. Learn more: scim.ag/4ezFm6t #SocialMediaDay
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Christopher A. Baker retweeted
I know I sound like a broken record, but I'm so tired of this bullshit. The cell is nothing like this. The dimensions are all wrong -- a typical protein molecule is 3-5 nm, so ~5000 times smaller linearly than a typical 20 um eukaryotic cell, and one part in 100 billionth the volume. There's far too much empty space, the cytosol is packed with molecules. The collective wavelike motion is pure fantasy -- stochasticity dominates at the molecular level. I suspect scientists put together these animations to show to the layman how much we know, but to me it just points out how much we DON'T know, and doesn't even begin to convey the true complexity.
Scientists have created one of the most detailed 3D reconstructions of a human cell (eukaryotic cell) ever produced. This groundbreaking model, often termed a "Cellular Landscape Cross-Section Through a Eukaryotic Cell," combines data from X-ray tomography, nuclear magnetic resonance (NMR), and cryo-electron microscopy to map molecular structures in extreme detail.
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